Tecton Revenue and Competitors
Estimated Revenue & Valuation
- Tecton's estimated annual revenue is currently $24.6M per year.
- Tecton's estimated revenue per employee is $155,875
- Tecton's total funding is $160M.
Employee Data
- Tecton has 158 Employees.
- Tecton grew their employee count by 15% last year.
Tecton's People
Name | Title | Email/Phone |
---|---|---|
1 | Co-Founder & CTO | Reveal Email/Phone |
2 | Chief Architect | Reveal Email/Phone |
3 | CEO and Co-Founder | Reveal Email/Phone |
4 | VP Engineering | Reveal Email/Phone |
5 | Head Growth | Reveal Email/Phone |
6 | Head Solution Architects | Reveal Email/Phone |
7 | VP Eng and Co-Founder | Reveal Email/Phone |
8 | VP Marketing | Reveal Email/Phone |
9 | VP Engineering | Reveal Email/Phone |
10 | VP Marketing | Reveal Email/Phone |
Tecton Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $10.8M | 50 | 43% | N/A | N/A |
#2 | $5.8M | 50 | -4% | N/A | N/A |
#3 | $1778.4M | 8883 | 43% | $3.5B | $38B |
What Is Tecton?
Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company. Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But ML models will only ever be as good as the data that is fed to them. Today, it's incredibly hard to build and manage ML data. Most companies don't have access to the advanced ML data infrastructure that is used by the internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production. We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.
keywords:N/A$160M
Total Funding
158
Number of Employees
$24.6M
Revenue (est)
15%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Tecton News
Tiny zircons found in South Africa point to an early start for the active global process that shapes Earth's surface and climate.
Tecton Products also partnered with several other financing and economic development entities to make this expansion possible, including: The...
Compared to the hyped Tecton X I also tested (which releases May 1, 2022), the the Speedgoat 5 felt more energetic, with softer support.
Tecton, the company that pioneered the notion of the machine learning feature store, has teamed up with the founder of the open source feature store project called Feast. Today the company announced the release of version 0.10 of the open source tool. The feature store is a concept that the Tec ...
Tecton, a San Francisco, CA-based enterprise feature store company, raised $35M in Series B funding. The round was co-led by Andreessen Horowitz and Sequoia, bringing the total raised to $60m. The company intends to use the funds to accelerate product innovation and go-to-market activities. L ...
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $22.1M | 158 | 4% | $40M |
#2 | $38.6M | 158 | 14% | $10.1M |
#3 | $15M | 158 | 23% | N/A |
#4 | $46.9M | 158 | 5% | N/A |
#5 | $25.2M | 158 | 30% | $16M |